Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

Physics AI engineering simulation tools reached production at General Motors this week, cutting a two-week aerodynamics cycle ...

Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into neural ...

In a study published earlier this month in the Journal of Cosmology and Astroparticle Physics, cosmologists trained an AI neural network on simulations of ΛCDM—the standard model of cosmology ...

To find these hidden paths before an attacker does, the researchers built a testing tool called ICSFlux. This new tool leans ...

High Energy Physics (HEP) is a deeply collaborative and software-driven discipline, where scientific discovery depends on advanced computing, data analysis, ...

Artificial intelligence is becoming increasingly vital to everyday activities across diverse sectors of society, from AI assistants to autonomous vehicles ...

The automotive industry holds some of the highest-value and most complex design disciplines you can think of. Designers face ...

With each year’s edition, the International MTT-S Symposia proclaims consensus buzzwords that purport to point to the ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

Communities around the world have adapted to live on the year-round frozen soil of frigid environments, such as in the Arctic ...

Here we go again. Get used to it, folks. This is part of the new business model... has little to do with the model being somehow amazingly more powerful than whichever ones came immediately before it.